2 रिपॉजिटरी
Systems that maintain pre-computed data summaries in external storage to accelerate query performance.
Distinct from Data Storage Architectures: Distinct from general data storage: focuses on the materialized summary layer for query acceleration.
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Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
Maintains materialized data summaries in external storage to accelerate query performance and reduce load on primary data sources.
GarminDB is a local fitness data store and self-hosted health data archive designed to import, archive, and analyze health and activity metrics from Garmin accounts. It functions as a fitness data aggregator and metric analysis tool, maintaining a private database of health records for independent tracking and custom querying. The system features a GPS activity heatmap generator to visualize frequently traveled paths and a plugin system for integrating specialized third-party data fields and custom metrics. It employs a local-first persistence model that retains original source files on disk
Aggregates raw health and activity metrics into structured tables for periodic analysis.